We open with a contribution by D. Đuričin and A. Kovačević in the Economic Growth and Development section. Their article highlights the role of the green energy transition and sustainable development based on climateneutral industrialization. The central idea is that these processes should rely on homegrown resources, particularly biomass and geothermal energy.
The Finance section addresses three themes. Governor J. Tabaković discusses the adjustment of monetary policy to the “new normal.” In a joint empirical study, I. Todorović, M. Nedeljković, and K. Đulić provide evidence on the relationship between climate risks and bank asset quality. A well-established team of authors, D. Lončar, F. Stojanović, I. Ivković, and D. Igov, assesses how SDG investment mapping can strengthen the pipeline of bankable projects and enhance the mobilization of private capital.
The paper in the Tax and Law section, authored by S. Ranđelović, N. Altiparmakov, and S. Ugrinov, analyzes the requirements of effective tax reform for a high-income Serbia, aimed at enhancing growth potential, environmental sustainability, and overall well-being. Serbia’s macroeconomic fundamentals and current regulatory framework are at the center of the analysis.
Last but not least, the Technology Change and Innovation section presents two forward-looking contributions addressing output growth and total factor
productivity as key drivers of sustainable development. In a conceptually rigorous study, G. Pitić, V. Čolič Mihajlović, T. Ilić, and M. Simić examine the renewed AIdriven productivity paradox, introducing the “productivity funnel” framework and identifying a “complementarity trap,” whereby firms lacking organizational readiness fail to convert AI diffusion into measurable productivity gains, particularly in CEE economies. Complementing this perspective, Ž. Teofilović, N. Savić, J. Lazarević, and I. Pribićević extend their ongoing research from Generation Z to Generation AI, examining how companies and Generation Z in Serbia are adapting to the transformative effects of the AI-driven Fourth Industrial Revolution.
